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2020 – today
- 2025
[j153]Suping Xu, Lin Shang, Furao Shen, Xibei Yang, Witold Pedrycz:
Incomplete label distribution learning via label correlation decomposition. Inf. Fusion 113: 102600 (2025)- [j152]Hengrong Ju
, Jing Guo, Weiping Ding, Xibei Yang:
D3WC: Deep three-way clustering with granular evidence fusion. Inf. Fusion 114: 102699 (2025) - [j151]Qihang Guo, Xibei Yang, Ming Li, Yuhua Qian:
Collaborative graph neural networks for augmented graphs: A local-to-global perspective. Pattern Recognit. 158: 111020 (2025) - 2024
- [j150]Damo Qian, Keyu Liu, Shiming Zhang, Xibei Yang:
Semi-supervised feature selection by minimum neighborhood redundancy and maximum neighborhood relevancy. Appl. Intell. 54(17-18): 7750-7764 (2024) - [j149]Jie Ben, Qiguo Sun, Keyu Liu, Xibei Yang, Fengjun Zhang:
Multi-head multi-order graph attention networks. Appl. Intell. 54(17-18): 8092-8107 (2024) - [j148]Pingxin Wang, Xibei Yang, Weiping Ding, Jianming Zhan, Yiyu Yao:
Three-way clustering: Foundations, survey and challenges. Appl. Soft Comput. 151: 111131 (2024) - [j147]Hengrong Ju, Yang Lu, Weiping Ding, Jinxin Cao, Xibei Yang:
Three-way evidence theory-based density peak clustering with the principle of justifiable granularity. Appl. Soft Comput. 152: 111217 (2024) - [j146]Jicong Duan, Xibei Yang, Shang Gao, Hualong Yu:
A partition-based problem transformation algorithm for classifying imbalanced multi-label data. Eng. Appl. Artif. Intell. 128: 107506 (2024) - [j145]Qihang Guo, Xibei Yang, Fengjun Zhang, Taihua Xu:
Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks. Eng. Appl. Artif. Intell. 129: 107616 (2024) - [j144]Jicong Duan, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao:
ECC + +: An algorithm family based on ensemble of classifier chains for classifying imbalanced multi-label data. Expert Syst. Appl. 236: 121366 (2024) - [j143]Qiguo Sun, Xueying Wei, Xibei Yang:
GraphSAGE with deep reinforcement learning for financial portfolio optimization. Expert Syst. Appl. 238(Part C): 122027 (2024) - [j142]Qihang Guo, Keyu Liu, Taihua Xu, Pingxin Wang, Xibei Yang:
Fuzzy feature factorization machine: Bridging feature interaction, selection, and construction. Expert Syst. Appl. 255: 124600 (2024) - [j141]Yuge Wang, Xibei Yang, Qiguo Sun, Yuhua Qian, Qihang Guo:
Purity Skeleton Dynamic Hypergraph Neural Network. Neurocomputing 610: 128539 (2024) - [j140]Jin Qian, Di Wang, Ying Yu, Xibei Yang, Shang Gao:
E3WD: A three-way decision model based on ensemble learning. Inf. Sci. 667: 120487 (2024) - [j139]Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Witold Pedrycz, Xibei Yang:
Multi-association evidential feature selection and its application to identifying schizophrenia. Inf. Sci. 674: 120647 (2024) - [j138]Hui Cong, Qiguo Sun, Xibei Yang, Keyu Liu, Yuhua Qian:
Enhancing graph convolutional networks with progressive granular ball sampling fusion: A novel approach to efficient and accurate GCN training. Inf. Sci. 676: 120831 (2024) - [j137]Xiaoxiao Wang, Xibei Yang, Pingxin Wang, Hualong Yu, Taihua Xu:
SSGCN: a sampling sequential guided graph convolutional network. Int. J. Mach. Learn. Cybern. 15(5): 2023-2038 (2024) - [j136]Hengrong Ju, Tao Yin, Jiashuang Huang, Weiping Ding, Xibei Yang:
Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 604-614 (2024) - [j135]Hengrong Ju, Tingting Shan, Weiping Ding, Keyu Liu, Muhammad Jabir Khan, Jiashuang Huang, Xibei Yang:
BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration. IEEE Trans. Fuzzy Syst. 32(8): 4234-4247 (2024) - [i1]Qiguo Sun, Hanyue Huang, Xibei Yang, Yuwei Zhang:
Jump Diffusion-Informed Neural Networks with Transfer Learning for Accurate American Option Pricing under Data Scarcity. CoRR abs/2409.18168 (2024) - 2023
- [j134]Jianjun Chen, Junning Zhu, Zhuang Li, Xibei Yang:
YOLOv7-WFD: A Novel Convolutional Neural Network Model for Helmet Detection in High-Risk Workplaces. IEEE Access 11: 113580-113592 (2023) - [j133]Jing Ba, Keyu Liu, Xibei Yang, Yuhua Qian:
Gift: granularity over specific-class for feature selection. Artif. Intell. Rev. 56(10): 12201-12232 (2023) - [j132]Yuxin Liu, Zhice Gong, Keyu Liu, Suping Xu, Hengrong Ju, Xibei Yang:
A Q-learning approach to attribute reduction. Appl. Intell. 53(4): 3750-3765 (2023) - [j131]Jiadong Zhang, Keyu Liu, Xibei Yang, Hengrong Ju, Suping Xu:
Multi-label learning with Relief-based label-specific feature selection. Appl. Intell. 53(15): 18517-18530 (2023) - [j130]Yan Gu, Jicong Duan, Hualong Yu, Xibei Yang, Shang Gao:
PLVI-CE: a multi-label active learning algorithm with simultaneously considering uncertainty and diversity. Appl. Intell. 53(22): 27844-27864 (2023) - [j129]Shuaishuai Zhang, Keyu Liu, Taihua Xu, Xibei Yang, Ao Zhang:
A meta-heuristic feature selection algorithm combining random sampling accelerator and ensemble using data perturbation. Appl. Intell. 53(24): 29781-29798 (2023) - [j128]Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu:
Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity. Appl. Soft Comput. 146: 110679 (2023) - [j127]Zhenyu Yin, Xibei Yang, Pingxin Wang, Hualong Yu, Yuhua Qian:
Ensemble selector mixed with pareto optimality to feature reduction. Appl. Soft Comput. 148: 110877 (2023) - [j126]Jing Ba, Pingxin Wang, Xibei Yang, Hualong Yu, Dongjun Yu:
Glee: A granularity filter for feature selection. Eng. Appl. Artif. Intell. 122: 106080 (2023) - [j125]Hengrong Ju, Weiping Ding, Xibei Yang, Pingping Gu:
Bi-directional adaptive neighborhood rough sets based attribute subset selection. Int. J. Approx. Reason. 160: 108966 (2023) - [j124]Jiaqi Sun, Pingxin Wang, Hualong Yu, Xibei Yang:
A constraint score guided meta-heuristic searching to attribute reduction. J. Intell. Fuzzy Syst. 44(3): 4779-4800 (2023) - [j123]Shanlin Zhou, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao:
RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning. J. King Saud Univ. Comput. Inf. Sci. 35(4): 36-49 (2023) - [j122]Yan Gu, Hualong Yu, Xibei Yang, Shang Gao:
Active Learning by Extreme Learning Machine with Considering Exploration and Exploitation Simultaneously. Neural Process. Lett. 55(4): 5245-5267 (2023) - [j121]Ying Zhang, Fang Ge, Fuyi Li, Xibei Yang, Jiangning Song, Dong-Jun Yu:
Prediction of Multiple Types of RNA Modifications via Biological Language Model. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3205-3214 (2023) - [j120]Keyu Liu, Tianrui Li, Xibei Yang, Hongmei Chen, Jie Wang, Zhixuan Deng:
SemiFREE: Semisupervised Feature Selection With Fuzzy Relevance and Redundancy. IEEE Trans. Fuzzy Syst. 31(10): 3384-3396 (2023) - [c40]Chengzhi Shi, Taihua Xu, Fuhao Cheng, Xibei Yang, Jianjun Chen:
An Acceleration Method for Attribute Reduction Based on Attribute Synthesis. IJCRS 2023: 62-74 - 2022
- [j119]Baoquan Feng, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao:
DME: An Adaptive and Just-in-Time Weighted Ensemble Learning Method for Classifying Block-Based Concept Drift Steam. IEEE Access 10: 120578-120591 (2022) - [j118]Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu:
Neighborhood rough set based ensemble feature selection with cross-class sample granulation. Appl. Soft Comput. 131: 109747 (2022) - [j117]Xin Shu, Feng Chang, Xin Zhang, Changbin Shao, Xibei Yang:
ECAU-Net: Efficient channel attention U-Net for fetal ultrasound cerebellum segmentation. Biomed. Signal Process. Control. 75: 103528 (2022) - [j116]Zhen Chen, Keyu Liu, Xibei Yang, Hamido Fujita:
Random sampling accelerator for attribute reduction. Int. J. Approx. Reason. 140: 75-91 (2022) - [j115]Jin Qian, DaWei Tang, Ying Yu, Xibei Yang, Shang Gao:
Hierarchical sequential three-way decision model. Int. J. Approx. Reason. 140: 156-172 (2022) - [j114]Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu:
Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization. Int. J. Approx. Reason. 148: 57-67 (2022) - [j113]Jiachen Fan, Pingxin Wang, Chunmao Jiang, Xibei Yang, Jingjing Song:
Ensemble learning using three-way density-sensitive spectral clustering. Int. J. Approx. Reason. 149: 70-84 (2022) - [j112]Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu, Pengfei Zhang, Jie Wang:
Granular cabin: An efficient solution to neighborhood learning in big data. Inf. Sci. 583: 189-201 (2022) - [j111]Yan Chen, Xibei Yang, Jinhai Li, Pingxin Wang, Yuhua Qian:
Fusing attribute reduction accelerators. Inf. Sci. 587: 354-370 (2022) - [j110]Aimin Zhang, Hualong Yu, Zhangjun Huan, Xibei Yang, Shang Zheng, Shang Gao:
SMOTE-RkNN: A hybrid re-sampling method based on SMOTE and reverse k-nearest neighbors. Inf. Sci. 595: 70-88 (2022) - [j109]Hengrong Ju, Weiping Ding, Zhen-Quan Shi, Jiashuang Huang, Jie Yang, Xibei Yang:
Attribute reduction with personalized information granularity of nearest mutual neighbors. Inf. Sci. 613: 114-138 (2022) - [j108]Guan-Yu Zhu, Yan Liu, Peng-Hao Wang, Xibei Yang, Dong-Jun Yu:
Learning Protein Embedding to Improve Protein Fold Recognition Using Deep Metric Learning. J. Chem. Inf. Model. 62(17): 4283-4291 (2022) - [j107]Aimin Zhang, Hualong Yu, Shanlin Zhou, Zhangjun Huan, Xibei Yang:
Instance weighted SMOTE by indirectly exploring the data distribution. Knowl. Based Syst. 249: 108919 (2022) - [j106]Jing Ba, Keyu Liu, Hengrong Ju, Suping Xu, Taihua Xu, Xibei Yang:
Triple-G: a new MGRS and attribute reduction. Int. J. Mach. Learn. Cybern. 13(2): 337-356 (2022) - [j105]Zhice Gong, Yuxin Liu, Taihua Xu, Pingxin Wang, Xibei Yang:
Unsupervised attribute reduction: improving effectiveness and efficiency. Int. J. Mach. Learn. Cybern. 13(11): 3645-3662 (2022) - [j104]Yining Chen, Pingxin Wang, Xibei Yang, Hualong Yu:
Bee: towards a robust attribute reduction. Int. J. Mach. Learn. Cybern. 13(12): 3927-3962 (2022) - [j103]Jin Wang, Yuxin Liu, Jianjun Chen, Xibei Yang:
An Ensemble Framework to Forest Optimization Based Reduct Searching. Symmetry 14(6): 1277 (2022) - [c39]Xiaoyu Zhang, Keyu Liu, Jing Ba, Xin Yang, Xibei Yang:
ROSES: A Novel Semi-supervised Feature Selector. Intelligent Information Processing 2022: 336-347 - 2021
- [j102]Pingxin Wang, Xibei Yang:
Three-Way Clustering Method Based on Stability Theory. IEEE Access 9: 33944-33953 (2021) - [j101]Zehua Jiang, Huili Dou, Jingjing Song, Pingxin Wang, Xibei Yang, Yuhua Qian:
Data-guided multi-granularity selector for attribute reduction. Appl. Intell. 51(2): 876-888 (2021) - [j100]Zehua Jiang, Keyu Liu, Jingjing Song, Xibei Yang, Jinhai Li, Yuhua Qian:
Accelerator for crosswise computing reduct. Appl. Soft Comput. 98: 106740 (2021) - [j99]Hengrong Ju, Weiping Ding, Xibei Yang, Hamido Fujita, Suping Xu:
Robust supervised rough granular description model with the principle of justifiable granularity. Appl. Soft Comput. 110: 107612 (2021) - [j98]Hualong Yu, Houjuan Xie, Xibei Yang, Haitao Zou, Shang Gao:
Online sequential extreme learning machine with the increased classes. Comput. Electr. Eng. 90: 107008 (2021) - [j97]Wangwang Yan, Yan Chen, Jinlong Shi, Hualong Yu, Xibei Yang:
Ensemble and Quick Strategy for Searching Reduct: A Hybrid Mechanism. Inf. 12(1): 25 (2021) - [j96]Xin Yang, Dun Liu, Xibei Yang, Keyu Liu, Tianrui Li:
Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations. Inf. Sci. 550: 71-90 (2021) - [j95]Tao Yin, Xiaojuan Mao, Xingtan Wu, Hengrong Ju, Weiping Ding, Xibei Yang:
An improved D-S evidence theory based neighborhood rough classification approach. J. Intell. Fuzzy Syst. 41(6): 6601-6613 (2021) - [j94]Yan Chen, Pingxin Wang, Xibei Yang, Jusheng Mi, Dun Liu:
Granular ball guided selector for attribute reduction. Knowl. Based Syst. 229: 107326 (2021) - [j93]Xun Wang, Pingxin Wang, Xibei Yang, Yiyu Yao:
Attribution reduction based on sequential three-way search of granularity. Int. J. Mach. Learn. Cybern. 12(5): 1439-1458 (2021) - [j92]Wenlu Dong, Shang Gao, Xibei Yang, Hualong Yu:
An Exploration of Online Missing Value Imputation in Non-stationary Data Stream. SN Comput. Sci. 2(1): 57 (2021) - 2020
- [j91]Xiangjian Chen, Di Li, Pingxin Wang, Xibei Yang:
A Deep Convolutional Neural Network With Fuzzy Rough Sets for FER. IEEE Access 8: 2772-2779 (2020) - [j90]Zehua Jiang, Keyu Liu, Xibei Yang, Hualong Yu, Hamido Fujita, Yuhua Qian:
Accelerator for supervised neighborhood based attribute reduction. Int. J. Approx. Reason. 119: 122-150 (2020) - [j89]Suping Xu, Hengrong Ju, Lin Shang, Witold Pedrycz, Xibei Yang, Chun Li:
Label distribution learning: A local collaborative mechanism. Int. J. Approx. Reason. 121: 59-84 (2020) - [j88]Ke Cheng, Shang Gao, Wenlu Dong, Xibei Yang, Qi Wang, Hualong Yu:
Boosting label weighted extreme learning machine for classifying multi-label imbalanced data. Neurocomputing 403: 360-370 (2020) - [j87]Yan Chen, Keyu Liu, Jingjing Song, Hamido Fujita, Xibei Yang, Yuhua Qian:
Attribute group for attribute reduction. Inf. Sci. 535: 64-80 (2020) - [j86]Xiansheng Rao, Keyu Liu, Jingjing Song, Xibei Yang, Yuhua Qian:
Gaussian kernel fuzzy rough based attribute reduction: An acceleration approach. J. Intell. Fuzzy Syst. 39(1): 679-695 (2020) - [j85]Xiansheng Rao, Xibei Yang, Xin Yang, Xiangjian Chen, Dun Liu, Yuhua Qian:
Quickly calculating reduct: An attribute relationship based approach. Knowl. Based Syst. 200: 106014 (2020) - [j84]Keyu Liu, Xibei Yang, Hualong Yu, Hamido Fujita, Xiangjian Chen, Dun Liu:
Supervised information granulation strategy for attribute reduction. Int. J. Mach. Learn. Cybern. 11(9): 2149-2163 (2020) - [j83]Shang Gao, Wenlu Dong, Ke Cheng, Xibei Yang, Shang Zheng, Hualong Yu:
Adaptive Decision Threshold-Based Extreme Learning Machine for Classifying Imbalanced Multi-label Data. Neural Process. Lett. 52(3): 2151-2173 (2020) - [c38]Xiaojing Luo, Jingjing Song, Huili Dou, Xibei Yang, Taihua Xu:
Hierarchies and Uncertainty Measures on Pythagorean Fuzzy Approximation Spaces. FSDM 2020: 643-655
2010 – 2019
- 2019
- [j82]Ke Cheng, Chen Zhang, Hualong Yu, Xibei Yang, Haitao Zou, Shang Gao:
Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data. IEEE Access 7: 170668-170681 (2019) - [j81]Yuan Gao, Xiangjian Chen, Xibei Yang, Pingxin Wang, Jusheng Mi:
Ensemble-Based Neighborhood Attribute Reduction: A Multigranularity View. Complex. 2019: 2048934:1-2048934:17 (2019) - [j80]Xiangjian Chen, Di Li, Xun Wang, Xibei Yang, Hongmei Li:
Rough intuitionistic type-2 fuzzy c-means clustering algorithm for MR image segmentation. IET Image Process. 13(4): 607-614 (2019) - [j79]Xibei Yang, Shaochen Liang, Hualong Yu, Shang Gao, Yuhua Qian:
Pseudo-label neighborhood rough set: Measures and attribute reductions. Int. J. Approx. Reason. 105: 112-129 (2019) - [j78]Keyu Liu, Xibei Yang, Hamido Fujita, Dun Liu, Xin Yang, Yuhua Qian:
An efficient selector for multi-granularity attribute reduction. Inf. Sci. 505: 457-472 (2019) - [j77]Zehua Jiang, Yibo Wang, Gang Xu, Xibei Yang, Pingxin Wang:
面向多尺度的属性约简加速器 (Multi-scale Based Accelerator for Attribute Reduction). 计算机科学 46(12): 250-256 (2019) - [j76]Hengrong Ju, Witold Pedrycz, Huaxiong Li, Weiping Ding, Xibei Yang, Xianzhong Zhou:
Sequential three-way classifier with justifiable granularity. Knowl. Based Syst. 163: 103-119 (2019) - [j75]Keyu Liu, Xibei Yang, Hualong Yu, Jusheng Mi, Pingxin Wang, Xiangjian Chen:
Rough set based semi-supervised feature selection via ensemble selector. Knowl. Based Syst. 165: 282-296 (2019) - [j74]Zehua Jiang, Xibei Yang, Hualong Yu, Dun Liu, Pingxin Wang, Yuhua Qian:
Accelerator for multi-granularity attribute reduction. Knowl. Based Syst. 177: 145-158 (2019) - [j73]Shuzhe Bao, Xiaoning Song, Guosheng Hu, Xibei Yang, Chunli Wang:
Colour face recognition using fuzzy quaternion-based discriminant analysis. Int. J. Mach. Learn. Cybern. 10(2): 385-395 (2019) - [j72]Jingzheng Li, Xibei Yang, Xiaoning Song, Jinhai Li, Pingxin Wang, Dong-Jun Yu:
Neighborhood attribute reduction: a multi-criterion approach. Int. J. Mach. Learn. Cybern. 10(4): 731-742 (2019) - [j71]Eric C. C. Tsang, Jingjing Song, Degang Chen, Xibei Yang:
Order based hierarchies on hesitant fuzzy approximation space. Int. J. Mach. Learn. Cybern. 10(6): 1407-1422 (2019) - [j70]Chao Ma, Xu Zhai, Zhaopei Wang, Mingguang Tian, Qiusheng Yu, Lei Liu, Hao Liu, Hao Wang, Xibei Yang:
State of health prediction for lithium-ion batteries using multiple-view feature fusion and support vector regression ensemble. Int. J. Mach. Learn. Cybern. 10(9): 2269-2282 (2019) - [j69]Pingxin Wang, Hong Shi, Xibei Yang, Jusheng Mi:
Three-way k-means: integrating k-means and three-way decision. Int. J. Mach. Learn. Cybern. 10(10): 2767-2777 (2019) - [j68]Hualong Yu, Dan Sun, Xiaoyan Xi, Xibei Yang, Shang Zheng, Qi Wang:
Fuzzy One-Class Extreme Auto-encoder. Neural Process. Lett. 50(1): 701-727 (2019) - [j67]Hualong Yu, Changyin Sun, Xibei Yang, Shang Zheng, Haitao Zou:
Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data. IEEE Trans. Fuzzy Syst. 27(12): 2353-2367 (2019) - [j66]Hualong Yu, Xibei Yang, Shang Zheng, Changyin Sun:
Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1088-1103 (2019) - [c37]Xiansheng Rao, Jingjing Song, Xibei Yang, Keyu Liu, Pingxin Wang:
Neighborhood Classifier for Label Noise. ICMLC 2019: 1-6 - 2018
- [j65]Hualong Yu, Changyin Sun, Xibei Yang, Shang Zheng, Qi Wang, Xiaoyan Xi:
LW-ELM: A Fast and Flexible Cost-Sensitive Learning Framework for Classifying Imbalanced Data. IEEE Access 6: 28488-28500 (2018) - [j64]Xibei Yang, Yiyu Yao:
Ensemble selector for attribute reduction. Appl. Soft Comput. 70: 1-11 (2018) - [j63]Yuan Gao, Xiangjian Chen, Xibei Yang, Pingxin Wang:
Neighborhood Attribute Reduction: A Multicriterion Strategy Based on Sample Selection. Inf. 9(11): 282 (2018) - [j62]Pingxin Wang, Qiang Liu, Xibei Yang, Jusheng Mi:
基于动态邻域的三支聚类分析 (Three-way Clustering Analysis Based on Dynamic Neighborhood). 计算机科学 45(1): 62-66 (2018) - [j61]Linna Wang, Xin Yang, Xibei Yang:
监督邻域粗糙集 (Supervised Neighborhood Rough Set). 计算机科学 45(8): 186-190 (2018) - [c36]Yuan Gao, Keyu Liu, Jingjing Song, Xiang-Jian Chen, Xibei Yang:
Distance Based On Neighborhood Classifier and Attribute Reduction. ICMLC 2018: 257-262 - [c35]Shaochen Liang, Keyu Liu, Xiangjian Chen, Pingxin Wang, Xibei Yang:
Multi-granularity Attribute Reduction. IJCSR 2018: 61-72 - 2017
- [j60]Xibei Yang, Suping Xu, Huili Dou, Xiaoning Song, Hualong Yu, Jingyu Yang:
Multigranulation rough set: A multiset based strategy. Int. J. Comput. Intell. Syst. 10(1): 277-292 (2017) - [j59]Hengrong Ju, Huaxiong Li, Xianzhong Zhou, Bing Huang, Xibei Yang:
基于Local约简的序贯三支分类器 (Sequential Three-way Classifier with Local Reduction). 计算机科学 44(9): 34-39 (2017) - [j58]Zhirong Yang, Yu Wang, Xibei Yang:
基于多代价的决策粗糙集属性约简 (Attribute Reduction Based on Multicost Decision-theoretic Rough Set). 计算机科学 44(9): 67-69 (2017) - [j57]Suping Xu, Xibei Yang, Hualong Yu, Dongjun Yu:
一种基于邻域协同表达的分类方法 (Neighborhood Collaborative Representation Based Classification Method). 计算机科学 44(9): 234-238 (2017) - [j56]Hengrong Ju, Huaxiong Li, Xibei Yang, Xianzhong Zhou, Bing Huang:
Cost-sensitive rough set: A multi-granulation approach. Knowl. Based Syst. 123: 137-153 (2017) - [j55]Jingjing Song, Eric C. C. Tsang, Degang Chen, Xibei Yang:
Minimal decision cost reduct in fuzzy decision-theoretic rough set model. Knowl. Based Syst. 126: 104-112 (2017) - [j54]Xiaoning Song, Xibei Yang, Chang-Bin Shao, Jingyu Yang:
Parity symmetrical collaborative representation-based classification for face recognition. Int. J. Mach. Learn. Cybern. 8(5): 1485-1492 (2017) - [j53]Xiaoning Song, Chang-Bin Shao, Xibei Yang, Xiaojun Wu:
Sparse representation-based classification using generalized weighted extended dictionary. Soft Comput. 21(15): 4335-4348 (2017) - [j52]Jun Hu, Yang Li, Ming Zhang, Xibei Yang, Hong-Bin Shen, Dong-Jun Yu:
Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1389-1398 (2017) - [c34]Pingxin Wang, Qiang Liu, Xibei Yang, Fasheng Xu:
Ensemble Re-clustering: Refinement of Hard Clustering by Three-Way Strategy. IScIDE 2017: 423-430 - [c33]Pingxin Wang, Xibei Yang, Yiyu Yao:
C&E Re-clustering: Reconstruction of Clustering Results by Three-Way Strategy. ISMIS 2017: 540-549 - [c32]Suping Xu, Pingxin Wang, Jinhai Li, Xibei Yang, Xiangjian Chen:
Attribute Reduction: An Ensemble Strategy. IJCRS (1) 2017: 362-375 - 2016
- [j51]Xiaoning Song, Zhen-Hua Feng, Xibei Yang, Xiaojun Wu, Jingyu Yang:
Towards multi-scale fuzzy sparse discriminant analysis using local third-order tensor model of face images. Neurocomputing 185: 53-63 (2016) - [j50]Hengrong Ju, Xibei Yang, Hualong Yu, Tongjun Li, Dong-Jun Yu, Jingyu Yang:
Cost-sensitive rough set approach. Inf. Sci. 355-356: 282-298 (2016) - [j49]Xibei Yang, Xu Yan, Suping Xu, Hualong Yu:
基于样本选择的启发式属性约简方法研究 (New Heuristic Attribute Reduction Algorithm Based on Sample Selection). 计算机科学 43(1): 40-43 (2016) - [j48]Huili Dou, Xibei Yang, Xiaoning Song, Hualong Yu, Wei-Zhi Wu, Jingyu Yang:
Decision-theoretic rough set: A multicost strategy. Knowl. Based Syst. 91: 71-83 (2016) - [j47]Jinhai Li, Yue Ren, Changlin Mei, Yuhua Qian, Xibei Yang:
A comparative study of multigranulation rough sets and concept lattices via rule acquisition. Knowl. Based Syst. 91: 152-164 (2016) - [j46]Hualong Yu, Changyin Sun, Xibei Yang, Wankou Yang, Jifeng Shen, Yunsong Qi:
ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data. Knowl. Based Syst. 92: 55-70 (2016) - [j45]Suping Xu, Xibei Yang, Hualong Yu, Dong-Jun Yu, Jingyu Yang, Eric C. C. Tsang:
Multi-label learning with label-specific feature reduction. Knowl. Based Syst. 104: 52-61 (2016) - [j44]Chang-Bin Shao, Xiaoning Song, Xibei Yang, Xiaojun Wu:
Extended minimum-squared error algorithm for robust face recognition via auxiliary mirror samples. Soft Comput. 20(8): 3177-3187 (2016) - [c31]Jingjing Song, Eric C. C. Tsang, Degang Chen, Xibei Yang:
Minimum decision cost reduct for fuzzy decision-theoretic rough set model. ICMLC 2016: 213-218 - [c30]Suping Xu, Xibei Yang, Eric C. C. Tsang, Eric Appiah Mantey:
Neighborhood collaborative classifiers. ICMLC 2016: 470-476 - 2015
- [j43]Xiaoning Song, Zi Liu, Xibei Yang, Jing-Yu Yang, Yunsong Qi:
Extended semi-supervised fuzzy learning method for nonlinear outliers via pattern discovery. Appl. Soft Comput. 29: 245-255 (2015) - [j42]Hualong Yu, Changyin Sun, Wankou Yang, Xibei Yang, Xin Zuo:
AL-ELM: One uncertainty-based active learning algorithm using extreme learning machine. Neurocomputing 166: 140-150 (2015) - [j41]Xibei Yang, Yong Qi, Dong-Jun Yu, Hualong Yu, Jingyu Yang:
α-Dominance relation and rough sets in interval-valued information systems. Inf. Sci. 294: 334-347 (2015) - [j40]Xiaoning Song, Zhen-Hua Feng, Guosheng Hu, Xibei Yang, Jing-Yu Yang, Yunsong Qi:
Progressive sparse representation-based classification using local discrete cosine transform evaluation for image recognition. J. Electronic Imaging 24(5): 053010 (2015) - [j39]Hengrong Ju, Xibei Yang, Yong Qi, Jingyu Yang:
量化粗糙集的单调性属性约简方法 (Approach to Monotonicity Attribute Reduction in Quantitative Rough Set). 计算机科学 42(8): 36-39 (2015) - [j38]Hualong Yu, Chaoxu Mu, Changyin Sun, Wankou Yang, Xibei Yang, Xin Zuo:
Support vector machine-based optimized decision threshold adjustment strategy for classifying imbalanced data. Knowl. Based Syst. 76: 67-78 (2015) - [j37]Dong-Jun Yu, Yang Li, Jun Hu, Xibei Yang, Jing-Yu Yang, Hong-Bin Shen:
Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression. IEEE ACM Trans. Comput. Biol. Bioinform. 12(3): 611-621 (2015) - [c29]Suping Xu, Xibei Yang, Xiaoning Song, Hualong Yu:
Prediction of protein structural classes by decreasing nearest neighbor error rate. ICMLC 2015: 7-13 - [c28]Xiaoning Song, Xibei Yang:
Parity symmetrical SRC algorithm for face recognition. ICMLC 2015: 140-144 - [c27]Jü Yang, Hualong Yu, Xibei Yang, Xin Zuo:
Imbalanced Extreme Learning Machine Based on Probability Density Estimation. MIWAI 2015: 160-167 - [c26]Hengrong Ju, Xibei Yang, Pei Yang, Huaxiong Li, Xianzhong Zhou:
A Moderate Attribute Reduction Approach in Decision-Theoretic Rough Set. RSFDGrC 2015: 376-388 - 2014
- [j36]Dong-Jun Yu, Jun Hu, Hui Yan, Xibei Yang, Jing-Yu Yang, Hong-Bin Shen:
Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble. BMC Bioinform. 15: 297 (2014) - [j35]Zaiyue Zhang, Xibei Yang:
Tolerance-based multigranulation rough sets in incomplete systems. Frontiers Comput. Sci. 8(5): 753-762 (2014) - [j34]Xiaoning Song, Zi Liu, Xibei Yang, Jingyu Yang:
A parameterized fuzzy adaptive K-SVD approach for the multi-classes study of pursuit algorithms. Neurocomputing 123: 131-139 (2014) - [j33]Jingjing Song, Xibei Yang, Xiaoning Song, Hualong Yu, Jing-Yu Yang:
Hierarchies on fuzzy information granulations: A knowledge distance based lattice approach. J. Intell. Fuzzy Syst. 27(3): 1107-1117 (2014) - [j32]Xibei Yang, Yong Qi, Hualong Yu, Xiaoning Song, Jingyu Yang:
Updating multigranulation rough approximations with increasing of granular structures. Knowl. Based Syst. 64: 59-69 (2014) - [j31]Hengrong Ju, Xibei Yang, Xiaoning Song, Yunsong Qi:
Dynamic updating multigranulation fuzzy rough set: approximations and reducts. Int. J. Mach. Learn. Cybern. 5(6): 981-990 (2014) - [j30]Xiaoning Song, Zi Liu, Xibei Yang, Shang Gao:
A new sparse representation-based classification algorithm using iterative class elimination. Neural Comput. Appl. 24(7-8): 1627-1637 (2014) - [j29]Xibei Yang, Xiaoning Song, Yunsong Qi, Jingyu Yang:
Constructive and axiomatic approaches to hesitant fuzzy rough set. Soft Comput. 18(6): 1067-1077 (2014) - [j28]Hengrong Ju, Xibei Yang, Huili Dou, Jingjing Song:
Variable Precision Multigranulation Rough Set and Attributes Reduction. Trans. Rough Sets 18: 52-68 (2014) - [c25]Hualong Yu, Yulong Yuan, Xibei Yang, Yuanyuan Dan:
A Dynamic Generation Approach for Ensemble of Extreme Learning Machines. ISNN 2014: 294-302 - [c24]Xibei Yang, Yong Qi, Hualong Yu, Jingyu Yang:
Want More? Pay More! RSCTC 2014: 144-151 - [c23]Jingjing Song, Xibei Yang, Yong Qi, Hualong Yu, Xiaoning Song, Jing-Yu Yang:
Characterizing Hierarchies on Covering-Based Multigranulation Spaces. RSKT 2014: 467-478 - [c22]Xingbin Ma, Xibei Yang, Yong Qi, Xiaoning Song, Jing-Yu Yang:
Multicost Decision-Theoretic Rough Sets Based on Maximal Consistent Blocks. RSKT 2014: 824-833 - 2013
- [j27]Xiaoning Song, Zi Liu, Xibei Yang, Jingyu Yang:
A fuzzy supervised learning method with dynamical parameter estimation for nonlinear discriminant analysis. Comput. Math. Appl. 66(10): 1782-1794 (2013) - [j26]Xibei Yang, Yuhua Qian, Jingyu Yang:
On Characterizing Hierarchies of Granulation Structures via Distances. Fundam. Informaticae 123(3): 365-380 (2013) - [j25]Xibei Yang, Xiaoning Song, Yanhong She, Jingyu Yang:
Hierarchy on multigranulation structures: a knowledge distance approach. Int. J. Gen. Syst. 42(7): 754-773 (2013) - [j24]Xibei Yang, Yunsong Qi, Xiaoning Song, Jingyu Yang:
Test cost sensitive multigranulation rough set: Model and minimal cost selection. Inf. Sci. 250: 184-199 (2013) - [c21]Lijuan Wang, Xibei Yang, Chen Wu:
Multi-covering Based Rough Set Model. RSFDGrC 2013: 236-244 - 2012
- [j23]Xibei Yang, Yanqin Zhang, Jing-Yu Yang:
Local and Global Measurements of MGRS Rules. Int. J. Comput. Intell. Syst. 5(6): 1010-1024 (2012) - [j22]Xibei Yang, Zehua Chen, Huili Dou, Ming Zhang, Jingyu Yang:
Neighborhood System Based Rough Set: Models and Attribute Reductions. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 20(3): 399-419 (2012) - [j21]Lijuan Wang, Xibei Yang, Jingyu Yang, Chen Wu:
Relationships among generalized rough sets in six coverings and pure reflexive neighborhood system. Inf. Sci. 207: 66-78 (2012) - [j20]Xibei Yang, Yuhua Qian, Jing-Yu Yang:
Hierarchical Structures on Multigranulation Spaces. J. Comput. Sci. Technol. 27(6): 1169-1183 (2012) - [j19]Yanqin Zhang, Xibei Yang:
Intuitionistic Fuzzy Dominance-based Rough Set Approach: Model and Attribute Reductions. J. Softw. 7(3): 551-563 (2012) - [j18]Xibei Yang, Xiaoning Song, Zehua Chen, Jingyu Yang:
On multigranulation rough sets in incomplete information system. Int. J. Mach. Learn. Cybern. 3(3): 223-232 (2012) - [c20]Xiaoning Song, Xibei Yang, Zi Liu, Xiangnan Ding:
A novel fuzzy supervised learning method with dynamical parameter estimation for discriminant analysis. FSKD 2012: 18-22 - [c19]Lijuan Wang, Xibei Yang, Jingyu Yang:
Incomplete multigranulation decision rules acquisition. GrC 2012: 510-514 - [c18]Junyi Zhou, Xibei Yang:
Study on characteristic consistent blocks based rough set approach to incomplete system. GrC 2012: 663-666 - [c17]Junyi Zhou, Xibei Yang:
Rough Set Model Based on Hybrid Tolerance Relation. RSKT 2012: 28-33 - [c16]Xibei Yang, Cheng Yan, Cai Chen, Jingyu Yang:
Hybrid: A New Multigranulation Rough Set Approach. RSKT 2012: 422-429 - [c15]Huili Dou, Xibei Yang, Jiyue Fan, Suping Xu:
The Models of Variable Precision Multigranulation Rough Sets. RSKT 2012: 465-473 - 2011
- [j17]Young Bae Jun, Xibei Yang:
A note on the paper "Combination of interval-valued fuzzy set and soft set" [Comput. Math. Appl. 58(2009) 521-527]. Comput. Math. Appl. 61(5): 1468-1470 (2011) - [j16]Xibei Yang, Ming Zhang:
Dominance-based fuzzy rough approach to an interval-valued decision system. Frontiers Comput. Sci. China 5(2): 195-204 (2011) - [j15]Xibei Yang, Xiaoning Song, Xiaohua Hu:
Generalisation of rough set for rule induction in incomplete system. Int. J. Granul. Comput. Rough Sets Intell. Syst. 2(1): 37-50 (2011) - [j14]Xibei Yang, Ming Zhang, Huili Dou, Jingyu Yang:
Neighborhood systems-based rough sets in incomplete information system. Knowl. Based Syst. 24(6): 858-867 (2011) - [j13]Zuoyong Li, Chuancai Liu, Guanghai Liu, Xibei Yang, Yong Cheng:
Statistical thresholding method for infrared images. Pattern Anal. Appl. 14(2): 109-126 (2011) - [j12]Xiaoning Song, Jingyu Yang, Xiaojun Wu, Xibei Yang:
An optimal symmetrical null space criterion of Fisher discriminant for feature extraction and recognition. Soft Comput. 15(2): 281-293 (2011) - [j11]Xibei Yang, Huili Dou:
Valued Dominance-Based Rough Set Approach to Incomplete Information System. Trans. Comput. Sci. 13: 92-107 (2011) - [c14]Ming Zhang, Zhenmin Tang, Weiyan Xu, Xibei Yang:
A Variable Muitlgranulation Rough Sets Approach. ICIC (3) 2011: 315-322 - [c13]Lijuan Wang, Xibei Yang, Jing-Yu Yang, Chen Wu:
Incomplete Multigranulation Rough Sets in Incomplete Ordered Decision System. ICIC (3) 2011: 323-330 - [c12]Xibei Yang:
The Models of Dominance-Based Multigranulation Rough Sets. ICIC (3) 2011: 657-664 - [c11]Yanqin Zhang, Xibei Yang:
An Intuitionistic Fuzzy Dominance-Based Rough Set. ICIC (3) 2011: 665-672 - 2010
- [j10]Xiaoning Song, Yu-Jie Zheng, Xiaojun Wu, Xibei Yang, Jing-Yu Yang:
A complete fuzzy discriminant analysis approach for face recognition. Appl. Soft Comput. 10(1): 208-214 (2010) - [j9]Xiaoning Song, Xibei Yang, Jingyu Yang, Xiaojun Wu, Yu-Jie Zheng:
Discriminant analysis approach using fuzzy fourfold subspaces model. Neurocomputing 73(10-12): 2255-2265 (2010) - [j8]Gongzhi Luo, Xibei Yang:
Limited Dominance-based Rough Set Model and Knowledge Reductions in Incomplete Decision System. J. Inf. Sci. Eng. 26(6): 2199-2211 (2010) - [c10]Xibei Yang, Tsau Young Lin:
Knowledge Operations in Neighborhood System. GrC 2010: 822-825
2000 – 2009
- 2009
- [j7]Xibei Yang, Tsau Young Lin, Jingyu Yang, Yan Li, Dongjun Yu:
Combination of interval-valued fuzzy set and soft set. Comput. Math. Appl. 58(3): 521-527 (2009) - [j6]Xibei Yang, Dongjun Yu, Jingyu Yang, Lihua Wei:
Dominance-based rough set approach to incomplete interval-valued information system. Data Knowl. Eng. 68(11): 1331-1347 (2009) - [j5]Lihua Wei, Zhenmin Tang, Xibei Yang, Limin Xu:
DRSA and reductions in incomplete fuzzy information system. Int. J. Granul. Comput. Rough Sets Intell. Syst. 1(2): 121-136 (2009) - [j4]Xibei Yang, Dongjun Yu, Jingyu Yang, Xiaoning Song:
Difference Relation-Based Rough Set and Negative Rules in Incomplete Information System. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 17(5): 649-665 (2009) - [j3]Xibei Yang, Jun Xie, Xiaoning Song, Jingyu Yang:
Credible rules in incomplete decision system based on descriptors. Knowl. Based Syst. 22(1): 8-17 (2009) - [c9]Xibei Yang, Xinzhe Li, Tsau Young Lin:
First GrC model - Neighborhood Systems the most general rough set models. GrC 2009: 691-695 - [c8]Xibei Yang, Jing-Yu Yang, Xiaohua Hu:
A new rough set model for knowledge acquisition in incomplete information system. GrC 2009: 696-701 - 2008
- [j2]Lihua Wei, Zhenmin Tang, Runyun Wang, Xibei Yang:
Extensions of dominance-based rough set approach in incomplete information system. Autom. Control. Comput. Sci. 42(5): 255-263 (2008) - [j1]Xibei Yang, Jingyu Yang, Chen Wu, Dongjun Yu:
Dominance-based rough set approach and knowledge reductions in incomplete ordered information system. Inf. Sci. 178(4): 1219-1234 (2008) - [c7]Yunsong Qi, Xibei Yang, Huaijiang Sun, Yuqing Song:
Dominance-Based Variable Precision Rough Fuzzy Approach in Fuzzy Information System. FSKD (5) 2008: 8-12 - [c6]Yan Li, Xibei Yang, Jingyu Yang:
Interception Strategy in Multi-Agent Systems based on Rough Sets. GrC 2008: 397-400 - [c5]Lihua Wei, Zhenmin Tang, Xibei Yang, Lili Zhang:
Dominance-based Rough Set Approach to Incomplete Fuzzy Information System. GrC 2008: 632-637 - 2007
- [c4]Xibei Yang, Dongjun Yu, Jingyu Yang, Chen Wu:
Generalization of Soft Set Theory: From Crisp to Fuzzy Case. ICFIE 2007: 345-354 - 2006
- [c3]Chen Wu, Xiaohua Hu, Jingyu Yang, Xibei Yang:
Expanding Tolerance RST Models Based on Cores of Maximal Compatible Blocks. RSCTC 2006: 235-243 - [c2]Chen Wu, Xiaohua Hu, Lijuan Wang, Xibei Yang, Yi Pan:
Knowledge Dependency Relationships in Incomplete Information System Based on Tolerance Relations. SMC 2006: 4773-4777 - 2005
- [c1]Chen Wu, Xibei Yang:
Information granules in general and complete coverings. GrC 2005: 675-678
Coauthor Index
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